Invention Grant
- Patent Title: Systems and methods for determining network data quality and identifying anomalous network behavior
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Application No.: US16691396Application Date: 2019-11-21
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Publication No.: US11115428B2Publication Date: 2021-09-07
- Inventor: Christopher D. Bynum , Scott G. Carter
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US VA Arlington
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US VA Arlington
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L29/06 ; H04L12/26 ; H04L12/24

Abstract:
A device receives network data and artificial packets associated with a network, and processes the network data to generate sequential sets of the network data. The device processes the sequential sets of the network data, with a time series model, to generate time series network data, and determines whether the time series network data satisfies a quality threshold. The device transforms, when the time series network data satisfies the quality threshold, residual data in the time series network data to identify data outliers, and removes the data outliers to generate modified time series network data. The device processes the modified time series network data, with a model, to generate a forecast data point, and compares the forecast data point and an actual data point to determine whether an anomaly exists in the network. The device performs one or more actions based on determining whether the anomaly exists in the network.
Public/Granted literature
- US20210160262A1 SYSTEMS AND METHODS FOR DETERMINING NETWORK DATA QUALITY AND IDENTIFYING ANOMALOUS NETWORK BEHAVIOR Public/Granted day:2021-05-27
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